University of Strathclyde
PhD researcher
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Overview
Your PhD project offers the chance to pioneer a genuine step change in how chemistry is monitored: not just watching reactions as they happen but forecasting decision-critical events before they occur. Working at the interface of chemistry, computer vision, and statistical physics, you will unite our team's Kineticolor imaging software with early-warning systems for chemical manufacturing.
Using a range of off-the-shelf and more sophisticated cameras, you will help turn the colour changes of a reaction into a predictive signal that can flag catalyst failure, runaway hazards, or mixing problems seconds before conventional methods can react. In the service of industrial partners across the pharmaceutical, agrochemical, and fine chemical sectors, you will:
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- Adapt and validate time series prediction methods to colorimetric video time series, learning to tell genuine chemical transitions apart from background noise.
- Benchmark early-warning performance (lead time, sensitivity, and specificity) across catalyst degradation, mixing failures, and other decision-critical reactions.
- Design experiments and generate new laboratory and industrial datasets, including through collaborations with CPACT partner companies.
- Help integrate the resulting predictive tools into the Kineticolor software platform on its path to commercial deployment.
PhD term: 3 years (October 2026 to September 2029).
Eligibility
- Honours or Masters-level degree in Chemistry or Chemical Engineering (2.1 or above).
- Due to the funding source, this post is open to UK home-fee eligible students only.
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Keywords
computer vision, predictive analytics, process analytical technology, digital chemistry, measurement science, statistical physics, reaction monitoring, artificial intelligence, manufacturing safety.
How to apply
Send a 2-page CV and a 1-page cover letter, setting out your reasons for applying, directly to Dr Marc Reid at the email address below.
Informal enquiries and formal applications: marc.reid.100@strath.ac.uk (Subject: PhD 2026).
Deadline for applications: 23:59 on Sunday, 6 September 2026
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